Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
47,966 skills from 2,309 repositories · updated 15 hours ago
47,966 skills
- obsidian-markdowndavepoon/buildwithclaudeCreate and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.ProductivityNo warnings★ 3.7K↓ —
- shopify-automationdavepoon/buildwithclaudeAutomate Shopify tasks via Rube MCP (Composio): products, orders, customers, inventory, collections. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".OtherNo warnings★ 3.8K↓ —
- make-automationdavepoon/buildwithclaudeAutomate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- invoice-organizerdavepoon/buildwithclaudeAutomatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.FinanceNo warnings★ 3.7K↓ —
- ultracostdavepoon/buildwithclaudeQuality-first per-stage model routing AND a pre-flight cost gate for Claude Code dynamic workflows. Use when authoring or running ultracode / dynamic-workflow scripts, spawning subagents, or writing agent() stages — pin the right model and effort on every stage, then estimate cost and confirm with the user before launching. Verify scripts with /ultracost:check.WritingNo warnings★ 3.7K↓ —
- skill-account-diagnosisZJU-REAL/Easel账号诊断/起号体检：读取已完善的画像 Profile + 近期内容数据，诊断垂直度、定位清晰度、限流降权信号、流量池阶段，给出病因→证据→处方式的起号意见与发布建议。当用户说账号诊断/起号体检/为什么没流量/是不是被限流了/账号定位诊断/起号建议/怎么起号时使用OtherNo warnings★ 4.2K↓ —
- short-drama-assetszenstory-ai/drama-skills从短剧剧本拆出人物/造型、地点/视图、道具/状态和跨场连续性，写成创作者可读的视觉设定。用户说“拆角色/场景/道具”“做资产设定”“判断复用还是新变体”“更新造型/道具状态”，或拿现成剧本直接做视觉资产准备时使用；不写图片提示词，不生成媒体。OtherNo warnings★ 3.6K↓ —Also in 1 other repo
- nvidia-appNVIDIA/skillsNVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.OtherNo warnings★ 3.8K↓ —
- yt-researchjeremylongshore/tons-of-skills-marketplaceAnalyze competitor YouTube coverage and video opportunities using sourced observations with explicit sampling limits. Use when researching channels or a niche before ideation. Trigger with "research channels" or "competitive video research".ScienceNo warnings★ 2.9K↓ —
- stop-that-shitlennney/stop-that-shitComplete requested work while preventing speculative defenses and scope creep. Use when considering extra hardening, reviewing possible overengineering, resolving repeated verification loops, following explicit task boundaries, or when the user invokes Stop That Shit. Ordinary use of validation, retries, or dependencies alone is not a trigger.PlanningNo warnings★ 3.4K↓ —Also in 1 other repo
- doca-erasure-codingNVIDIA/skillsHardware-offloaded erasure coding with DOCA Erasure Coding (Reed-Solomon, doca_ec) on a BlueField DPU, ConnectX NIC, or host: generating parity for data blocks, rebuilding lost blocks from the survivors, and refreshing parity after a change. Trigger on "one data block changed, how do I refresh parity without re-encoding", "a disk failed and 2 parity blocks are gone, can I rebuild", "RAID-6 resilience across 12 disks", "my doca_ec_task_create returns NOT_PERMITTED", or "is this N+K layout still recoverable", even without naming DOCA Erasure Coding. Covers bringing up a doca_ec context, the create / recover / update tasks, matrix type / N / K / block size, doca_ec_cap_* queries before sizing, doca_mmap src/dst permissions, and DOCA_ERROR_* from doca_ec_task_*. Refuse and route elsewhere for non-Reed-Solomon codes (fountain / LDPC / raptor), pure-replication designs, network FEC, or other DOCA accelerator libraries (SHA / Compress / AES-GCM / DMA).EngineeringNo warnings★ 3.8K↓ —
- content-quality-auditoraaron-he-zhu/aaron-marketing-skillsUse when auditing content quality, E-E-A-T, or publish readiness; runs a typed 80-item CORE-EEAT profile with evidence coverage, veto checks, and a fix plan. Not for structural tags/headers alone — use on-page-seo-checker; not for domain/citation trust — use domain-authority-auditor. 内容质量/EEAT评分MarketingNo warnings★ 3K↓ —
- reviewing-ffmpeg-skill-changeskajisho5/ffmpeg-skillReview a change to the ffmpeg-skill repository for the failures its own contract makes possible — a claim in a result document that is true at one layer and false at the layer a caller reads, a new flag that reaches the code but not the contract/docs/demo surfaces, a "bug" that docs/design-decisions.md already decided with a pinning test, a fix with no regression test, a new runtime dependency or a raw ffmpeg shell call that breaks the scope boundary, a SKILL.md line added without one trimmed, a review that re-derives findings from a summary instead of the tree at the reviewed commit. Use when asked to review a PR or diff in this repository, when authoring code here and needing a pre-commit check, or when triaging an external review or audit report about this codebase.MediaNo warnings★ 4.1K↓ —
- competitor-analystjeremylongshore/tons-of-skills-marketplaceCompetitive analysis and market positioning partner for Product Managers. Use when the user needs to analyze competitors, map positioning, or identify feature gaps. Trigger with "competitor", "competitive analysis", "market map", "feature comparison", "how does X compare", or "positioning".OtherNo warnings★ 2.9K↓ —
- concurrent-brancheskajisho5/ffmpeg-skillResolve conflicts and merges when several branches are open against one repo at the same time — the hotspot files every change must touch (registry manifests, a single version field, shared tool config, one aggregated test module, tracked build output), union-vs-recompute-vs-rebuild as three different correct resolutions, generated artifacts that must never be merged, non-deterministic serialization that makes every branch conflict, renumbered identifiers that git cannot show you, and why a clean auto-merge is not a passing test. Use when rebasing or merging a long-lived branch, resolving conflict markers, reviewing a merge commit, deciding what a repo should commit vs generate, or setting up a repo that will take parallel contributions.TestingNo warnings★ 4.1K↓ —
- clerk-sdk-patternsjeremylongshore/tons-of-skills-marketplaceCommon Clerk SDK patterns and best practices. Use when implementing authentication flows, accessing user data, or integrating Clerk SDK methods in your application. Trigger with phrases like "clerk SDK", "clerk patterns", "clerk best practices", "clerk API usage".EngineeringNo warnings★ 2.9K↓ —
- close-automationdavepoon/buildwithclaudeAutomate Close CRM tasks via Rube MCP (Composio): create leads, manage calls/SMS, handle tasks, and track notes. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- proof-point-packageraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "package our proof points", "build reusable stat cards and case snippets", or "put proof where each pillar makes its claim"; turns claims-ledger-approved proofs into reusable proof modules — stat cards, case snippets, testimonial blocks, comparison proofs — each pinned to a message-house pillar and the ledger claim ID it substantiates, and flags any pillar making a claim with no approved proof behind it. Never adjudicates a proof: unverified or ledger-absent proofs are marked '[needs source]' and routed to the claims candidates. Not for adjudicating or substantiating claims — use offer-claims-registry; not for fabricating a benchmark to fill a gap — a missing proof is flagged, not invented; not for scoring narrative quality — use narrative-quality-auditor. 证据模块/证据卡/客户案例/主张对齐OtherNo warnings★ 3K↓ —
- i4h-workflow-e2eNVIDIA/skillsRun the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.TestingNo warnings★ 3.8K↓ —
- remove-bgZJU-REAL/Easel图片去背景 / 抠图 / 换背景：用 AI 语义分割把主体从背景抠出，输出透明 PNG，或直接换成纯色（电商白底）/ 新场景背景。无需绿幕。当用户说 去背景、抠图、抠图换背景、去掉背景、透明背景、白底图、换背景、抠人像、抠产品、扣图、KO图、商品白底 时使用。基于 shared/scripts/remove_bg.py（rembg u2net）。与 green-screen 区别：green-screen 处理绿幕视频，本 SKILL 处理任意图片；与 ecom-details-image 区别：那个出电商视觉方案，本 SKILL 只做抠图。MediaNo warnings★ 4.2K↓ —
- harness-writingtrailofbits/skillsDesigns and improves fuzzing harnesses for C/C++ and Rust. Covers mapping raw bytes onto a target API, generating structured inputs, avoiding non-determinism and false crashes, and deciding what to fuzz together. Use when writing a first LLVMFuzzerTestOneInput or fuzz_target! harness, when a campaign finds nothing or reports crashes that will not reproduce, or when the target API needs structured rather than raw input.WritingNo warnings★ 7.9K↓ —
- skill-strategy-advisorZJU-REAL/Easel基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势，给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别：content-strategy 从零制定策略， strategy-advisor 基于现有数据做迭代优化。OtherNo warnings★ 4.2K↓ —
- speckit-taskstoissuesforyourhealth111-pixel/Vibe-SkillsConvert tasks from tasks.md into GitHub issues. Use after task breakdown to track work items in GitHub project management.PlanningNo warnings★ 3.8K↓ —
rag-eval
NVIDIA/skills
OtherUpdated yesterday
From the author
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Install
npx skills add NVIDIA/skills --skill rag-eval -a claude-code
Installs to .claude/skills/rag-eval/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (10)
- BENCHMARK.md
- SKILL.md
- eval/h100.json
- eval/nvidia_hosted.json
- references/benchmark-execution.md
- references/dataset-and-conversion.md
- references/evaluate-rag-cli.md
- references/result-analysis.md
- skill-card.md
- skill.oms.sig